An approach for Semantic search over Lithuanian news website corpus

The continuous growth of unstructured textual information on the web implies the need for novel, semantically aware content processing and information retrieval (IR) methods. Following the evolution and wide adoption of Semantic Web technology, a number of approaches to overcome the limitations of traditional keyword-based search techniques have been proposed. However, most of the research concentrates on English and other well-known, linguistic resource-rich languages. Hence, this paper presents an attempt to semantic search over domain-specific Lithuanian web documents. We introduce an ontology-based semantic search framework capable of answering structured natural Lithuanian language questions and discuss its language-dependent design decisions. The findings from a recent case study showed that our proposed framework can be applied to approach meaning-based IR with significant results, even when the underlying language is morphologically rich and has limited linguistic resources.